Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data

Qian, Xinwu; Lei, Tian; Xue, Jiawei; Lei, Zengxiang; Ukkusuri, Satish V.

doi:10.1016/j.scs.2020.102053

Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data

Journal Article · Mon Jan 27 23:00:00 EST 2020 · Sustainable Cities and Society

DOI:https://doi.org/10.1016/j.scs.2020.102053· OSTI ID:1799523

Qian, Xinwu ^[1]; Lei, Tian ^[2]; Xue, Jiawei ^[2]; Lei, Zengxiang ^[2]; Ukkusuri, Satish V. ^[2]

Purdue Univ., West Lafayette, IN (United States); OSTI
Purdue Univ., West Lafayette, IN (United States)

We collect vehicle trajectory data from major transportation network companies (TNCs) in New York City (NYC) in 2017 and 2019, and we use the trajectory data to understand how the growth of TNCs has impacted traffic congestion and emission in urban areas. By mining the large-scale trajectory data and conduct the case study in NYC, we confirm that the rise of TNC is the major contributing factor that makes urban traffic congestion worse. From 2017 to 2019, the number of for-hire vehicles (FHV) has increased by over 48% and served 90% more daily trips. These resulted in an average citywide speed reduction of 22.5% on weekdays, and the average speed in Manhattan decreased from 11.76 km/h in April 2017 to 9.56 km/h in March 2019. The heavier traffic congestion may have led to 136% more NOx, 152% more CO and 157% more HC emission per kilometer traveled by the FHV sector. Our results show that the traffic condition is consistently worse across different times of the day and at different locations in NYC. And we build the connection between the number of available FHVs and the reduction in travel speed between the two years of data and explain how the rise of TNC may impact traffic congestion in terms of moving speed and congestion time. Our findings provide valuable insights for different stakeholders and decision-makers in framing regulation and operation policies towards more effective and sustainable urban mobility.

View Accepted Manuscript (DOE)

Research Organization:: Purdue University, West Lafayette, IN (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: EE0008524

OSTI ID:: 1799523

Alternate ID(s):: OSTI ID: 1780080

Journal Information:: Sustainable Cities and Society, Journal Name: Sustainable Cities and Society Journal Issue: C Vol. 55; ISSN 2210-6707

Publisher:: ElseiverCopyright Statement

Country of Publication:: United States

Language:: English

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29 ENERGY PLANNING, POLICY, AND ECONOMY
Construction & Building Technology
Emission
Energy & Fuels
Science & Technology
Trajectory data
Transportation network companies
Urban traffic congestion

Impact of transportation network companies on urban congestion: Evidence from large-scale trajectory data

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